Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
OtherLetters to the Editor

Total-Body and Red Marrow Dose Estimates

Jeffry A. Siegel, Michael G. Stabin and Richard B. Sparks
Journal of Nuclear Medicine February 2003, 44 (2) 320-323;
Jeffry A. Siegel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael G. Stabin
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard B. Sparks
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
  • PDF
Loading

TO THE EDITOR:

We read with great interest the article by Matthay et al. (1). We would like to comment on the total-body and red marrow dose estimates presented in this publication and discuss possible alternative methods of dosimetry analysis. These points highlight the need for the radionuclide-therapy community to continue to refine dosimetry models to be more patient specific.

The article states that “Ideally, the whole-body dose should correlate accurately with the activity per kilogram.” Good correlation between these 2 quantities would be expected only for those agents that exhibit little or no interpatient variability in total-body clearance; the larger the variance in interpatient clearance rates for a given radiolabeled agent, the weaker the correlation. The authors correctly point out that the variance in clearance rate measured in their patients likely caused a reduced correlation between total-body dose and administered activity per kilogram. The fact that the S value for total body to total body (Eq. 7) was not adjusted to better represent individual patients through use of actual (or lean) body mass also likely contributed to a weaker correlation. This is a generally accepted correction needed to more accurately estimate dose. Thus, the less than ideal correlation (even though significant) between total-body dose and administered activity per kilogram, demonstrated in this article for 131I-MIBG, was probably due primarily to the variability in total-body clearance between patients but also to the lack of correction for the mass of the patient.

Currently, a widely accepted approach for estimating red marrow dose uses a 2-component equation (2) for radionuclide therapy agents that do not bind to any blood, marrow, or bone elements in patients whose disease does not include significant bone marrow involvement or bone involvement. The first component reflects the red marrow dose contribution associated with activity distributed within the extracellular fluid space of red marrow because of circulating blood activity. The second component reflects the absorbed dose contribution associated with activity in the remainder of the body (RB), according to DRM = [Ã]blood (CF) mRM S(RM ← RM) + ÃRB × S(RM ← RB), where DRM is the red marrow dose estimate; [Ã]blood is the concentration of cumulated activity in blood; CF is a correction factor for the marrow-to-blood activity concentration ratio; mRM is the mass of the red marrow (multiplication of the last 3 terms, [Ã]blood × CF × mRM, results in the red marrow cumulated activity, ÃRM); S(RM ← RM) is the S value for red marrow to red marrow; ÃRB is the cumulated activity in the RB, obtained by subtracting the red marrow value, ÃRM, from the total-body value, ÃTB; and S(RM ← RB) is the S value for RB to red marrow. Although it is not always done, additional distinguishable source organ contributions should also be included (3). The relative contribution of each of these 2 main components to the red marrow dose estimate depends on the cumulated activity ratio for total body to blood. For 131I and ratios of 1:1, 3:1, and 10:1, for example, the RB dose contribution can be shown to be approximately 25%, 50%, and 75%, respectively, of the total red marrow dose. Originally, the correction factor, CF, was set at unity (2), but other investigators have shown this value to be too conservative. CF is currently assigned either a fixed value of between 0.2 and 0.4 (3) or a value of 0.19/(1 − hematocrit) (4); given the observed range of patient hematocrit levels, the latter correction factor has been shown to vary by only ±15% from a mean of approximately 0.3.

Red marrow dosimetry for radiolabeled agents that bind to blood, marrow, or bone components, or in patients with significant bone marrow or bone metastases (as may be the case for patients given 131I-metaiodobenzylguanidine [MIBG]), is much more complex and time consuming. In addition to the 2 components of red marrow absorbed dose described above as being due to the nonspecific presence of radioactivity in the extracellular fluid of the marrow and in the tissues of the body, specific uptake of radioactivity in marrow or bone elements may be other important sources of irradiation to the red marrow. To estimate the radiation contributions to red marrow from targeting of malignant (or normal) tissues in the marrow or bone, quantitative measurements involving imaging by scintillation camera are usually obtained to determine the biokinetics of these source regions (3). Estimating red marrow dose from image data, however, is admittedly still an uncertain science.

The red marrow dose was calculated in this study by multiplying the total-body cumulated activity by the S value for total body to bone marrow (Eq. 8). Use of the S value for total body to marrow is incorrect because this S value was calculated by assuming that the activity was distributed uniformly throughout the entire body, a scenario that is not true for 131I-MIBG since there are individually distinguishable source organs. For 131I-labeled agents and cumulated activity ratios of 1:1, 3:1, 5:1, and 10:1 for total body to blood, the authors’ 1-component approach to estimating red marrow dose would result in an estimate that is a factor of approximately 0.45 too low, 0.90 too low, 1.10 too high, and 1.40 too high, respectively, compared with the widely accepted 2-component estimate of red marrow dose. Thus, for agents exhibiting ratios between approximately 3:1 and 5:1, the red marrow dose approach used by the authors could give reasonable results with an error on the order of 10%. However, given that the average cumulated activity ratio for total body to blood has been estimated to be approximately 1:1 for 131I-MIBG (5) and, in addition, that the 2-component estimate of red marrow dose may be significantly lower than the actual absorbed dose because of specific targeting of marrow or bone elements, the approach taken by the authors may have significantly underestimated the red marrow dose and this underestimation may have contributed to the observed poor correlation between radiation dose and toxicity.

Hematologic toxicity is not easily predicted by pharmacokinetic and dosimetric variables, because in addition to the absorbed dose information, individuals’ biologic response to radiation may vary because of inherent interpatient differences, decreased bone marrow reserve in some patients, and increased radiosensitivity due to prior chemotherapy or external-beam radiation.

We suggest that, ideally, patient-specific biokinetic parameters (including better image-based analyses) and dosimetric parameters should be used to calculate as accurate a radiation dose as possible, to ensure that the activity administered to the patient will deliver a radiation absorbed dose that effectively treats diseased tissues without harming healthy tissues. We believe that use of a simpler empiric method to determine the necessary therapeutic activity prescription (i.e., a fixed administered activity per unit body weight, or a 1-dose-fits-all approach), currently advocated by some physicians and scientists, is not in the overall best interest of the patient. More accurate and patient-specific models need to be developed, taking into account as many biokinetic, dosimetric, and biologic factors as necessary, such as cellularity, variable absorbed fraction, patient-specific CF (since there may be a significant interpatient variation), patient-specific mass adjustments, and differing bone marrow radiosensitivity. We believe that the radionuclide-therapy community should collect data and perform analyses to more accurately explain observed tumor response and normal-tissue toxicity and shed further light on the optimal treatment for patients receiving radionuclide therapy.

REFERENCES

  1. ↵
    Matthay KK, Panina C, Huberty J, et al. Correlation of tumor and whole-body dosimetry with tumor response and toxicity in refractory neuroblastoma treated with 131I-MIBG. J Nucl Med. 2001;42:1713–1721.
    OpenUrlAbstract/FREE Full Text
  2. ↵
    Bigler RE, Zanzonico PB, Leonard R, et al. Bone marrow dosimetry for monoclonal antibody therapy. In: Schlafke-Stelson AT, Watson EE, eds. Fourth International Radiopharmaceutical Dosimetry Symposium. Oak Ridge, TN: Oak Ridge Associated Universities; 1986: 535–544.
  3. ↵
    Siegel JA, Wessels BW, Watson EE, et al. Bone marrow dosimetry and toxicity for radioimmunotherapy. Antibody Immunoconj Radiopharm. 1990;3:213–233.
    OpenUrl
  4. ↵
    Sgouros G. Bone marrow dosimetry for radioimmunotherapy: theoretical considerations. J Nucl Med. 1993;34:689–694.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    Jacobsson L, Mattsson S, Johansson L, Lindberg S, Fjälling M. Biokinetics and dosimetry of 131I-metaiodobenzylguanidine (MIBG). In: Schlafke-Stelson AT, Watson EE, eds. Fourth International Radiopharmaceutical Dosimetry Symposium. Oak Ridge, TN: Oak Ridge Associated Universities; 1986: 389–398.

REPLY:

We thank Drs. Siegel, Stabin, and Sparks for their thoughtful and detailed comments on whole-body and red marrow dosimetry methods. If dosimetry is to be used as a prognostic tool, it is correct to assert that reasonable attempts should be made, when possible, both to refine the dosimetric models and to acquire accurate patient-specific data.

Our recent publication (1) was based on results dating back 15 years. We nonetheless considered the data of interest and published the results from the dosimetry methods in existence at the time. Current protocols for 131I-metaiodobenzylguanidine (MIBG) therapy at the University of California, San Francisco (UCSF), have improved the accuracy of whole-body measurements in several ways. First, we have mounted a 5-atm digital ion chamber (model 451P;Inovision, Cleveland, OH) over the patient’s bed. This device, along with an Excel (Microsoft, Redmond, WA) add-in program, permits whole-body data acquisition at frequent desired intervals. We are now able to analyze the wash-in and washout curves using hundreds of data points. Second, a power function is used to interpolate S values for total body to red marrow on the basis of patient weight. The power function, mGy/GBq-s = 0.03296 × kg(−0.8917), where r = 0.99983, was derived by fitting the MIRD S values for total body to red marrow versus the nominal whole-body mass of the 6 MIRD phantoms. Third, the 10%–25% of the administered activity excreted in the urine during the 2-h infusion is now measured in each patient. Subtracting this activity from the infused activity more accurately defines the y-intercept of the washout curve.

Regarding the comments on total-body dose, the above refinements will optimistically decrease both variability for patients who receive multiple 131I-MIBG therapies and variability within a population of patients. Unfortunately, other factors are involved in the correlation between red marrow dose, hematologic toxicity, and administered activity. In addition, approximately 65% of 131I-MIBG is associated with the remainder, and the contribution from the remainder to the red marrow based on the MIRDOSE3 and International Commission on Radiological Protection-53 biokinetic is 90.5% for a 5-y-old child. Also, the association between glomerular filtration rate, creatinine clearance, and whole-body 131I-MIBG kinetics is well documented (2). Patients who have compromised renal function were not eligible for this study.

Identifying and understanding the numerous elements required to determine the red marrow dose that has a predictive value is beyond the scope of our clinical studies. However, we would like to respond to the comments on red marrow dose.

First, the correction factor of 0.2–0.4 that Drs. Siegel, Stabin, and Sparks cite is for 150-kDa antibodies (3), not 324-molecular-weight cations with a pKa of approximately 12. The equilibrium of 131I-MIBG from the plasma space into the hematopoietic parenchyma and supporting stroma is unknown. In fact, quoting Siegel, “Pharmacokinetic principles indicate that traffic of molecules through the fenestrations of the endothelial layer depends at least on differences in electric charge between the endothelial layer and the molecule, molecular size… ” (3). Furthermore, it is common knowledge that highly charged and polar molecules do not readily cross cell membranes.

Second, although we have never sampled red marrow from our pediatric patients to evaluate active uptake, we do know from viewing the marrow space in more than 3,000 diagnostic 123I-MIBG scans since 1985 that, in the absence of disease, 123I-MIBG does not concentrate in the red marrow. Our laboratory is anxiously awaiting the availability of 124I-MIBG that will permit us to quantitatively address this issue using PET.

Third, our lack of a blood component was not an oversight. Blood samples taken 30 min after a bolus injection of 131I-MIBG containing <0.1% free iodide, from patients with normal organ function, demonstrate a very small fraction of a percentage of the administered activity. Also, dynamic scintigraphic studies dramatically demonstrate clear images of normal organs and extensive kidney and bladder activity within minutes after a bolus injection of 123I-MIBG. The above blood and scintigraphic data indicate an apparent first-pass plasma clearance of MIBG. This phenomenon has been previously reported (4).

As stated in our article (1), therapeutic amounts of 131I-MIBG are infused over a 2-h period at a constant rate. Blood samples taken at 15-min intervals during the 2-h infusion and immediately afterward likewise demonstrated an extremely rapid blood clearance. For instance, the activity per gram of blood at 15, 30, 45, 60, 75, 90, 105, and 120 min during a constant rate infusion of 10.10 GBq was 46.99, 84.73, 88.80, 98.05, 120.62, 135.05, 136.90, and 144.67 kBq, respectively. At 1 and 2 h after the infusion, the activity was 49.58 and 18.50 kBq. The area under the curve of the 2-h infusion in this example was 196.10 kBq-h with a beta dose per gram of blood of approximately 2.0 cGy.

A plausible explanation for the rapid plasma clearance of 131I-MIBG is as follows:First, 131I-MIBG is a metabolically stable analog of norepinephrine; second, the concentration of catecholamines in both extracellular fluid and plasma is critical to body function; third, catecholamines are known to be highly polar chemicals that do not readily cross cell membranes; and fourth, there is a class of nonneuronal transporters that enable the body to rapidly clear and regulate catecholamine concentration in the blood (5). In humans, the organic cation transporters (OCT-1) are expressed primarily in the liver. The strategic localization of OCT-1 in an excretory organ is to eliminate specific substrates, of which 131I-MIBG is one, into the bile. However, 131I-MIBG is one of several substrates that the liver seems to lack the mechanisms to extract into the bile. A knockout mouse line that lacks functional OCT-1 demonstrated an approximately 4-fold reduction of 131I-MIBG in the liver over functional controls (5).

Dynamic scintigraphic studies demonstrate clear images of normal organs, that is, extensive liver uptake within minutes after a bolus injection of 123I-MIBG. They do not, with the exception of a momentary blush, demonstrate tumor. Blake et al. state that “Following the initial rapid clearance a quasistatic equilibrium is maintained between continuing rapid plasma clearance and 123I-MIBG re-entering the circulation” (2). It is our conjecture that the liver functions as a margination pool for tumor 123I-MIBG uptake.

The goal of our 131I-MIBG treatment program has been to try to cure a highly malignant childhood cancer by giving the maximally effective doses. Ideally, pretherapy dosimetry should be used to predict both bone marrow toxicity and expected tumor absorbed doses for all radiotargeted isotope therapy. In fact, pretherapy dosimetry would also be ideal with all medical therapies to adjust them to individual pharmacokinetics and tolerance in each patient, but practicality and the goal of cure often dictate the use of the maximum tolerated dose determined in a phase I study, the approach that we took with 131I-MIBG. Unfortunately, the many parameters inherent in tumor dosimetry and the as yet nonmeasurable biologic factors that may contribute to tumor response and to marrow toxicity make dosimetry a less than accurate exercise. We are well aware of these biologic variations in patient bone marrow reserve, 131I-MIBG distribution and excretion, and tumor heterogeneity, after performing 139 high-dose 131I-MIBG therapies here at UCSF. Nonetheless, we have initiated a new pretherapy dosimetry protocol for 131I-MIBG to study early time-points and thus see if it is possible to improve the accuracy of predicting tumor and liver dose in each patient. As the imaging technology continues to improve, it is likely that dosimetric measurements may become more predictive of tumor response. However, the difficulty in estimating the impact on bone marrow stroma of prior therapy and infiltrating tumor will continue to confound toxicity predictions and make even the most accurate prediction of red marrow dose only an approximation for selecting a “safe” level of activity.

REFERENCES

  1. ↵
    Matthay KK, Panina C, Huberty J, et al. Correlation of tumor and whole-body dosimetry with tumor response and toxicity in refractory neuroblastoma treated with 131I-MIBG. J Nucl Med. 2001;42:1713–1721.
  2. ↵
    Blake GM, Lewington VJ, Zivanovic MA, Ackery DM. Glomerular filtration rate and the kinetics of 123I-metaiodobenzylguanidine. Eur J Nucl Med. 1989;15:618–623.
    OpenUrlPubMed
  3. ↵
    Siegel JA, Wellels BW, Watson EE, et al. Bone marrow dosimetry and toxicity for radioimmunotherapy. Antibody Immunoconj Radiopharm. 1990;3:213–233.
  4. ↵
    Fielding SL, Flower MA, Ackery D, Kemshead JT, Lashford LS, Lewis I. Dosimetry of iodine 131 metaiodobenzylguanidine for treatment of resistant neuroblastoma: results of a UK study. Eur J Nucl Med. 1991;18:308–316.
    OpenUrlCrossRefPubMed
  5. ↵
    Jonker JW, Wagenaar E, Mol CA, et al. Reduced hepatic uptake and intestinal excretion of organic cations in mice with a targeted disruption of the organic cation transporter 1 (Oct1 [Slc22a1]) gene. Mol Cell Biol. 2001;21:5471–5477.
    OpenUrlAbstract/FREE Full Text
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine
Vol. 44, Issue 2
February 1, 2003
  • Table of Contents
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Total-Body and Red Marrow Dose Estimates
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Total-Body and Red Marrow Dose Estimates
Jeffry A. Siegel, Michael G. Stabin, Richard B. Sparks
Journal of Nuclear Medicine Feb 2003, 44 (2) 320-323;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Total-Body and Red Marrow Dose Estimates
Jeffry A. Siegel, Michael G. Stabin, Richard B. Sparks
Journal of Nuclear Medicine Feb 2003, 44 (2) 320-323;
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • REFERENCES
    • REFERENCES
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Business Model Beats Science and Logic: Dosimetry and Paucity of Its Use
  • Determining PSMA-617 Mass and Molar Activity in Pluvicto Doses
  • The Value of Functional PET in Quantifying Neurotransmitter Dynamics
Show more Authors of the Letter and the Reply

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire